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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17483
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    INDEX
    Explanations

    phrases related to personal abilities or traits

    oai_token-act-pair · gpt-3.5-turbo

    expressions of human connection and emotional experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     footing
    -0.63
    ron
    -0.62
     marking
    -0.62
    rising
    -0.60
    interstitial
    -0.60
     Frey
    -0.59
     greeting
    -0.57
     ringing
    -0.57
     Vog
    -0.56
     Roh
    -0.56
    POSITIVE LOGITS
     can
    1.40
    can
    1.40
    Can
    1.23
     cannot
    1.17
     Can
    1.16
     CAN
    1.15
    CAN
    1.10
     could
    0.95
     able
    0.92
     Cannot
    0.90
    Activations Density 0.255%

    No Known Activations